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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 24535
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    Explanations

    phrases related to decrease or reduction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reductions or drops in various metrics or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourage
    -0.78
    illion
    -0.75
    oris
    -0.74
    itiz
    -0.74
     succeeded
    -0.65
     echoed
    -0.64
    ove
    -0.64
    ruly
    -0.63
    yssey
    -0.63
    arta
    -0.63
    POSITIVE LOGITS
     rubble
    1.08
     obscurity
    1.05
     ashes
    0.98
     mere
    0.86
     nil
    0.82
     mediocre
    0.79
     zero
    0.77
     Pieces
    0.77
    ueless
    0.75
     dust
    0.75
    Activations Density 0.138%

    No Known Activations